时空大数据处理的需求、应用与挑战

Requirements,Applications and Challenges of Spatio-Temporal Big Data Processing

时空信息不仅是大数据的重要组成部分,更可被看成是大数据本身。从大数据时代时空信息处理面临的新需求出发,包括时空信息处理需要大数据平台、大数据库、新的快速计算模型和分析方法,以及时空信息安全和标准化等,阐述了时空信息和大数据相辅相成的紧密联系,并对当今时空大数据的应用和挑战举例分析,描述了现今时空大数据的典型应用及其处理技术存在的问题,并对如何解决和将来的发展方向提出了新的思路。

Spatio-temporal information is not only an important part of the Big Data, but also can be seen as the Big Data itself. From the new requirements of spatio-temporal information processing in the era of the Big Data, including the Big Data platform, database, new fast calculation models and analysis methods, the security and standardization of spatio-temporal information. Firstly,this paper expounds the close relationship between the spatio-temporal information and the Big Data, analyzes today＇s spatio-temporal Big Data applications and challenges, then describes the problems of existing typical application and processing technology. Finally, the new ideas for how to solve the problems and the fu ture direction are proposed.